Jason S. Ku

64 total papers · 2.9k total citations
26 papers, 1.6k citations indexed

About

Jason S. Ku is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jason S. Ku has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Mechanical Engineering and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jason S. Ku's work include Advanced Materials and Mechanics (9 papers), Computational Geometry and Mesh Generation (6 papers) and Structural Analysis and Optimization (5 papers). Jason S. Ku is often cited by papers focused on Advanced Materials and Mechanics (9 papers), Computational Geometry and Mesh Generation (6 papers) and Structural Analysis and Optimization (5 papers). Jason S. Ku collaborates with scholars based in United States, Canada and Japan. Jason S. Ku's co-authors include Steven L. Waslander, Ali Harakeh, Melissa Mozifian, Jungwook Lee, Alex Pon, Erik D. Demaine, Chengyao Li, Thomas C. Hull, Sanjay E. Sarma and Ajay Deshpande and has published in prestigious journals such as SHILAP Revista de lepidopterología, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Sensors Journal.

In The Last Decade

Jason S. Ku

25 papers receiving 1.6k citations

Hit Papers

Joint 3D Proposal Generat... 2018 2026 2020 2023 2018 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jason S. Ku 1.2k 737 288 259 185 26 1.6k
Christoph Mertz 839 0.7× 312 0.4× 393 1.4× 252 1.0× 298 1.6× 45 1.8k
Ingmar Posner 1.0k 0.8× 823 1.1× 415 1.4× 324 1.3× 198 1.1× 73 1.9k
Bingbing Liu 693 0.6× 615 0.8× 232 0.8× 335 1.3× 270 1.5× 85 1.7k
Danfei Xu 1.3k 1.0× 780 1.1× 167 0.6× 92 0.4× 170 0.9× 30 2.3k
Nicolas Vandapel 795 0.6× 774 1.1× 181 0.6× 702 2.7× 434 2.3× 35 1.6k
Jiajun Deng 1.3k 1.1× 612 0.8× 190 0.7× 244 0.9× 198 1.1× 61 1.8k
Bo Li 1.6k 1.3× 834 1.1× 402 1.4× 498 1.9× 379 2.0× 21 2.2k
Hui Zhou 928 0.8× 334 0.5× 156 0.5× 266 1.0× 168 0.9× 33 1.4k
Ali Harakeh 1.2k 0.9× 641 0.9× 314 1.1× 259 1.0× 178 1.0× 10 1.5k
Yan Yan 1.5k 1.2× 809 1.1× 366 1.3× 407 1.6× 295 1.6× 14 1.9k

Countries citing papers authored by Jason S. Ku

Since Specialization
Citations

This map shows the geographic impact of Jason S. Ku's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jason S. Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason S. Ku more than expected).

Fields of papers citing papers by Jason S. Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason S. Ku. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jason S. Ku. The network helps show where Jason S. Ku may publish in the future.

Co-authorship network of co-authors of Jason S. Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Jason S. Ku. A scholar is included among the top collaborators of Jason S. Ku based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason S. Ku. Jason S. Ku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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